title: WAVECLOCK: wavelet analysis of circadian oscillation.
abstract: Oscillations in mRNA and protein of circadian clock components can be continuously monitored in vitro using synchronized cell lines. These rhythms can be highly variable due to culture conditions and are non-stationary due to baseline trends, damping and drift in period length. We present a technique for characterizing the modal frequencies of oscillation using continuous wavelet decomposition to non-parametrically model changes in amplitude and period while removing baseline effects and noise.
  
  
  BACKGROUND
  The method has been implemented as the package waveclock for the free statistical software program R and is available for download from http://cran.r-project.org/
authors.affiliation: Institute of Psychiatry, Kings College London. thomas.price@iop.kcl.ac.uk
authors.forename: Tom S
authors.initials: TS
authors.lastname: Price
authors.forename: Julie E
authors.initials: JE
authors.lastname: Baggs
authors.forename: Anne M
authors.initials: AM
authors.lastname: Curtis
authors.forename: Garret A
authors.initials: GA
authors.lastname: Fitzgerald
authors.forename: John B
authors.initials: JB
authors.lastname: Hogenesch
mesh_terms: D000465:Algorithms; D000818:Animals; D002940:Circadian Rhythm / Q000502:physiology*; D019295:Computational Biology / Q000379:methods*; D006801:Humans; D012333:RNA, Messenger / Q000235:genetics / Q000378:metabolism; D034741:RNA, Small Interfering / Q000235:genetics / Q000378:metabolism
chemical_list: D012333:RNA, Messenger; D034741:RNA, Small Interfering